Article Per Year (5 Year)
p-Index From 2020 - 2025
0.659
P-Index
This Author published in this journals
All Journal MEDIA KONSERVASI TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Sylva Lestari
Arif Kurnia Wijayanto
Departemen Konservasi Sumberdaya Hutan Dan Ekowisata, Fakultas Kehutanan, IPB
Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Education Energy Environmental Science Materials Science & Nanotechnology

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
Mobile-based Expert System for Selecting Broiler Farm Location Using PostGIS Arif Kurnia Wijayanto; Kudang Boro Seminar; Rudi Afnan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 14, No 1: March 2016
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v14i1.2903

Abstract

Massive development of broiler farms has led to many socio-environmental problems. Based on idea that broiler farm must be located at suitable location, an expert system for site selection based on the socio-environmental factors and sustainable principles is urgently needed to cope with this problem. The objective of this research was to develop a mobile-based expert system as a guidance for broiler farmers to choose best location for broiler farm. There were four factors considered in the system: 1) ecology and environmental impact, 2) economic and infrastructure, 3) natural condition, and 4) natural disaster vulnerability, each of which consists of sub-factors. A mobile-based expert system has been developed by using opensource web GIS server and PostgreSQL/PostGIS, and can be installed on Android device. As conclusion, a mobile-based expert system has been developed and can be used to determine suitable location for broiler farm development.
PEMANFAATAN FUSI DATA SATELIT LAPAN-A3/IPB DAN LANDSAT 8 UNTUK MONITORING LAHAN SAWAH Yudi Setiawan; Lilik Budi Prasetyo; Hidayat Pawitan; Liyantono Liyantono; Syartinilia Syartinilia; Arif Kurnia Wijayanto; Prita Ayu Permatasari; A Hadi Syafrudin; Patria Rachman Hakim
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 8 No. 1 (2018): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.8.1.67-76

Abstract

Increasing of economic development is generally followed by the change of landuse from agriculture to other function. If it occurs in large frequency and amount, it will threaten national food security. Therefore, it is necessary to monitor the agricultural land, especially paddy fields regarding to changes in landuse and global climate. Utilization and development of satellite technology is necessary to provide more accurate and independent database for agricultural land monitoring, especially paddy fields. This study aims to develop a utilization model for LAPAN-IPB satellite (LISAT) and other several satellites data that have been used for paddy field monitoring. This research is conducted through 2 stages: 1) Characterization LISAT satellite data to know spectral variation of paddy field, and 2) Development method of LISAT data fusion with other satellites for paddy field mapping. Based on the research results, the characteristics Red and NIR band in LISAT data imagery have a good correlation with Red and NIR band in LANDSAT 8 OLI data imagery, especially to detect paddy field in the vegetative phase, compared to other bands. Observation and measurement of spectral values using spectroradiometer need to be conducted periodically (starting from first planting season) to know the dynamics of the change related to the growth phase of paddy in paddy field. Pre-processing of image data needs to be conducted to obtain better LISAT data characterization results. Furthermore, it is necessary to develop appropriate algorithms or methods for geometric correction as well as atmospheric correction of LISAT data.
IDENTIFYING AREAS AFFECTED BY FIRES IN SUMATRA BASED ON TIME SERIES OF REMOTELY SENSED FIRE HOTSPOTS AND SPATIAL MODELING Yudi Setiawan; Lilik Budi Prasetyo; Hidayat Pawitan; Prita Ayu Permatasari; Desi Suyamto; Arif Kurnia Wijayanto
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 8 No. 3 (2018): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.8.3.420-427

Abstract

Wildfires threaten the environment not only at local scales, but also at wider scales. Rapid monitoring system to detect active wildfires has been provided by satellite remote sensing technology, particularly through the advancement on thermal infrared sensors. However, satellite-based fire hotspots data, even at relatively high temporal resolution of less than one-day revisit period, such as time series of fire hotspots collected from TERRA and AQUA MODIS, do not tell exactly if they are fire ignitions or fire escapes, since other factors like wind, slope, and fuel biomass significantly drive the fire spread. Meanwhile, a number of biophysical fire simulation models have been developed, as tools to understand the roles of biophysical factors on the spread of wildfires.  Those models explicitly incorporate effects of slope, wind direction, wind speed, and vegetative fuel on the spreading rate of surface fire from the ignition points across a fuel bed, based on either field or laboratory experiments.  Nevertheless, none of those models have been implemented using real time fire data at relatively large extent areas. This study is aimed at incorporating spatially explicit time series data of weather (i.e. wind direction and wind speed), remotely sensed fuel biomass and remotely sensed fire hotspots, as well as incorporating more persistent biophysical factors (i.e. terrain), into an agent-based fire spread model, in order to identify fire ignitions within time series of remotely sensed fire hotspots.
Pengaruh Pola Pemanfaatan Ruang Terbuka Hijau terhadap Dinamika Perubahan Kualitas Udara Akibat Pandemi Covid-19 Siti Badriyah Rushayati; Rachmad Hermawan; Yudi Setiawan; Arif Kurnia Wijayanto; Lilik Budi Prasetyo; Prita Ayu Permatasari
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol. 10 No. 4 (2020): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Graduate School Bogor Agricultural University (SPs IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.10.4.559-567

Abstract

The Covid-19 pandemic has had a global impact on all sectors including the environment. The spread of Covid-19 is very much influenced by human activity and mobility. Human activities are also closely related to air pollutant emissions. High concentrations of air pollutants during the Covid19 pandemic will increase the risk of being exposed to Covid-19. Jakarta and its surrounding area (known locally as Jabodetabek) have high population density. These cities are economic and industrial centers. Air pollutant emissions in these cities are very high. High concentrations of air pollutants during the Covid-19 pandemic will increase the risk of being exposed to Covid. To anticipate this problem, the government made a Large-Scale Social Restriction Policy (PSBB). Limited human activities, in addition to having an impact on reducing the risk of humans being exposed to Covid-19 from the droplets released by tested-positive of Covid-19, also have an impact on reducing emissions of air pollutants so that they can reduce the risk of being exposed to Covid-19. Several variables that influence vulnerability and risk to exposure to Covid-19 are the distribution of settlements, roads, economic centers (markets, business centers, industrial centers), and human mobility. In this study, we will also analyze the role of green open space on the risk of exposure to Covid-19. Green open space plays an important role in reducing air pollutants so that it will also affect the risk of being exposed to Covid-19. This study aimed to 1) examine the distribution of air pollutants based on the vulnerability and risk of COVID-19 in Jakarta, Bogor, Depok, Tangerang, and Bekasi (Jabodetabek), and 2) examine the results of the overlay between land cover and vulnerability and risk to Covid-19.
Canopy Density Estimation Model in Peat Swamp Forest Using LiDAR Data and Landsat 8 OLI Satellite Imagery Saleh, Muhammad Buce; Malta Daerangga; Prasetyo, Lilik Budi; Yudi Setiawan; Sahid Hudjimartsu; Wijayanto, Arif Kurnia
Media Konservasi Vol. 29 No. 2 (2024): Media Konservasi Vol 29 No 2 May 2024
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/medkon.29.2.249

Abstract

Canopy density is one of the important parameters in measuring the forest conditions. Canopy density can be estimated by using a remote sensing technology system. Light Detection and Ranging (LiDAR) is an active remote sensing system which uses a laser that is emitted by a sensor to the objects on the earth surface. For a wide area, image utilization which solely relies on LiDAR is still relatively expensive, so it is necessary to develop a method that combine LiDAR data with other medium resolution images such as Landsat 8 OLI imagery. Therefore, this research was conducted to obtain the canopy density estimation model from LiDAR and Landsat 8 OLI data. The results showed that the best estimation model at the study site, PT Global Alam Lestari's peat swamp forest was FRCI = - 0.0171 + 8.691 GRVI. The equation model had coefficient of determination (R²) of 50.2%, standard deviation value (s) of 0.101, aggregate deviation (SA) value of 0.459, and correlation coefficient (r) between the actual FRCI and the estimation FRCI (best model) of 0.503.
Estimating Vegetation Density Dynamics, Tree Diversity, and Carbon Stock in the Agroforestry System of the Community Forest in Bogor Regency, Indonesia Hartoyo, Adisti Permatasari Putri; Karlinasari, Lina; Setiajiati, Fitta; Wijayanto, Arif Kurnia; Rifana, Haikal Zaky; Madani, Hilmi Naufal; Satriawan, Handi; Rahmawati, Rita; Siregar, Ulfah Juniarti
Jurnal Sylva Lestari Vol. 13 No. 1 (2025): January
Publisher : Department of Forestry, Faculty of Agriculture, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jsl.v13i1.989

Abstract

Mitigation actions to address climate change are essential to prevent future adverse impacts, with woody species in forests playing a pivotal role in carbon storage, as exemplified by the agroforestry systems commonly practiced in community forests of Bogor Regency, which integrate woody species and crops. This study aimed to analyze changes in vegetation density using the Normalized Difference Vegetation Index (NDVI) approach, analyze stand structure and composition, and estimate above-ground carbon stocks in the agroforestry land of community forest in Tenjolaya Sub-District, Bogor Regency. The methods used were spatial analysis with NDVI, vegetation analysis, and carbon stock estimation using allometric and destructive methods. The plot size was 50 m × 50 m, totaling 21 plots. NDVI analysis resulted in low density (0.59–0.67), moderate density (0.67–0.78), and high density (0.78–0.85). This study found 178 plant species across 40 families, with Fabaceae and Myrtaceae being the most dominant. The carbon stock is 27.69 tons carbon/ha. Carbon stock is significantly influenced by tree density, number of species, and basal area values. A well-managed community forest has high ecological, economic, and social potential through the development of agroforestry, which can maintain biodiversity and environmental sustainability while storing carbon stocks. Keywords: above-ground carbon, agroforestry, community forest, normalized difference vegetation index, vegetation density
Co-Authors A Hadi Syafrudin Adisti Permatasari Putri Hartoyo Desi Suyamto Fitta Setiajiati Hermawan, Rachmad Hidayat Pawitan Kudang Boro Seminar LILIK BUDIPRASETYO Lina Karlinasari Liyantono . Madani, Hilmi Naufal Malta Daerangga Muhammad Buce Saleh Patria Rachman Hakim Prita Ayu Permatasari, Prita Ayu Rifana, Haikal Zaky Rita Rahmawati Rudi Afnan Sahid Hudjimartsu Satriawan, Handi Siti Badriyah Rushayati Syartinilia . Ulfah Juniarti Siregar Yudi Setiawan Yudi Setiawan